Quand les médias traduisent la crise : les métaphores utilisées par la presse généraliste pendant la crise des subprimes
Bibliographic record
Abstract
Dans la couverture médiatique de la crise des prêts hypothécaires à risque (dits subprimes ) qui a éclaté en août 2007, la traduction s’est trouvée mobilisée du fait que les déclencheurs de cette crise étaient d’origine américaine et ont dû être expliqués par les journalistes canadiens aux lectorats anglophones et francophones. Pour présenter avec une économie de moyens des concepts compliqués et souligner la gravité de la situation, les journalistes ont recouru aux métaphores de l’accident, du cataclysme, de la catastrophe et de l’épidémie. Après analyse des métaphores conceptuelles trouvées dans La Presse, Le Devoir, The Toronto Star et The Globe and Mail, l’article démontre que, loin d’être banales, elles confortent une idéologie néolibérale de l’économie.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.027 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".